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When only all-dense "sparse" tensors occur in a function prototype, the
assembler would skip the method conversion purely based on input/output
counts. It should rewrite based on the presence of any annotation,
however.
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(#81682)
…ct LevelType from LevelFormat and properties instead.
**Rationale**
We used to explicitly declare every possible combination between
`LevelFormat` and `LevelProperties`, and it now becomes difficult to
scale as more properties/level formats are going to be introduced.
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The "Dim" prefix is a legacy left-over that no longer makes sense, since
we have a very strict "Dimension" vs. "Level" definition for sparse
tensor types and their storage.
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instead use "sparsifier" (#71875)
The changes in this p.r. mostly center around the tests that use the
flag sparse_compiler (also: sparse-compiler).
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also typo fix
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This adds COO and loose compressed to output testing. Also prepares BSR
for output testing, but needs the conversion to work first. Cleanup of
stale TODOs
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Updates:
1. Infer lvlToDim from dimToLvl
2. Add more tests for block sparsity
3. Finish TODOs related to lvlToDim, including adding lvlToDim to python
binding
Verification of lvlToDim that user provides will be implemented in the
next PR.
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This is a major step along the way towards the new STEA design. While a great deal of this patch is simple renaming, there are several significant changes as well. I've done my best to ensure that this patch retains the previous behavior and error-conditions, even though those are at odds with the eventual intended semantics of the `dimToLvl` mapping. Since the majority of the compiler does not yet support non-permutations, I've also added explicit assertions in places that previously had implicitly assumed it was dealing with permutations.
Reviewed By: aartbik
Differential Revision: https://reviews.llvm.org/D151505
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This is an ongoing series of commits that are reformatting our
Python code.
Reformatting is done with `black`.
If you end up having problems merging this commit because you
have made changes to a python file, the best way to handle that
is to run git checkout --ours <yourfile> and then reformat it
with black.
If you run into any problems, post to discourse about it and
we will try to help.
RFC Thread below:
https://discourse.llvm.org/t/rfc-document-and-standardize-python-code-style
Differential Revision: https://reviews.llvm.org/D150782
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Windows"
This reverts commit 5561e174117ff395d65b6978d04b62c1a1275138
The logic was moved from cmake into lit fixing the issue that lead to the revert and potentially others with multi-config cmake generators
Differential Revision: https://reviews.llvm.org/D143925
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on Windows"
This reverts commit 161b9d741a3c25f7bd79620598c5a2acf3f0f377.
REASON:
cmake --build . --target check-mlir-integration
Failed Tests (186):
MLIR :: Integration/Dialect/Arith/CPU/test-wide-int-emulation-addi-i16.mlir
MLIR :: Integration/Dialect/Arith/CPU/test-wide-int-emulation-cmpi-i16.mlir
MLIR :: Integration/Dialect/Arith/CPU/test-wide-int-emulation-compare-results-i16.mlir
MLIR :: Integration/Dialect/Arith/CPU/test-wide-int-emulation-constants-i16.mlir
MLIR :: Integration/Dialect/Arith/CPU/test-wide-int-emulation-max-min-i16.mlir
MLIR :: Integration/Dialect/Arith/CPU/test-wide-int-emulation-muli-i16.mlir
MLIR :: Integration/Dialect/Arith/CPU/test-wide-int-emulation-shli-i16.mlir
MLIR :: Integration/Dialect/Arith/CPU/test-wide-int-emulation-shrsi-i16.mlir
MLIR :: Integration/Dialect/Arith/CPU/test-wide-int-emulation-shrui-i16.mlir
MLIR :: Integration/Dialect/Async/CPU/microbench-linalg-async-parallel-for.mlir
MLIR :: Integration/Dialect/Async/CPU/microbench-scf-async-parallel-for.mlir
MLIR :: Integration/Dialect/Async/CPU/test-async-parallel-for-1d.mlir
MLIR :: Integration/Dialect/Async/CPU/test-async-parallel-for-2d.mlir
MLIR :: Integration/Dialect/Complex/CPU/correctness.mlir
MLIR :: Integration/Dialect/LLVMIR/CPU/X86/test-inline-asm-vector.mlir
MLIR :: Integration/Dialect/LLVMIR/CPU/X86/test-inline-asm.mlir
MLIR :: Integration/Dialect/LLVMIR/CPU/test-vector-reductions-fp.mlir
MLIR :: Integration/Dialect/LLVMIR/CPU/test-vector-reductions-int.mlir
MLIR :: Integration/Dialect/Linalg/CPU/matmul-vs-matvec.mlir
MLIR :: Integration/Dialect/Linalg/CPU/rank-reducing-subview.mlir
MLIR :: Integration/Dialect/Linalg/CPU/test-collapse-tensor.mlir
MLIR :: Integration/Dialect/Linalg/CPU/test-conv-1d-call.mlir
MLIR :: Integration/Dialect/Linalg/CPU/test-conv-1d-nwc-wcf-call.mlir
MLIR :: Integration/Dialect/Linalg/CPU/test-conv-2d-call.mlir
MLIR :: Integration/Dialect/Linalg/CPU/test-conv-2d-nhwc-hwcf-call.mlir
MLIR :: Integration/Dialect/Linalg/CPU/test-conv-3d-call.mlir
MLIR :: Integration/Dialect/Linalg/CPU/test-conv-3d-ndhwc-dhwcf-call.mlir
MLIR :: Integration/Dialect/Linalg/CPU/test-elementwise.mlir
MLIR :: Integration/Dialect/Linalg/CPU/test-expand-tensor.mlir
MLIR :: Integration/Dialect/Linalg/CPU/test-one-shot-bufferize.mlir
MLIR :: Integration/Dialect/Linalg/CPU/test-padtensor.mlir
MLIR :: Integration/Dialect/Linalg/CPU/test-subtensor-insert-multiple-uses.mlir
MLIR :: Integration/Dialect/Linalg/CPU/test-subtensor-insert.mlir
MLIR :: Integration/Dialect/Linalg/CPU/test-tensor-e2e.mlir
MLIR :: Integration/Dialect/Linalg/CPU/test-tensor-matmul.mlir
MLIR :: Integration/Dialect/Memref/cast-runtime-verification.mlir
MLIR :: Integration/Dialect/SparseTensor/CPU/concatenate.mlir
MLIR :: Integration/Dialect/SparseTensor/CPU/dense_output.mlir
MLIR :: Integration/Dialect/SparseTensor/CPU/dense_output_bf16.mlir
MLIR :: Integration/Dialect/SparseTensor/CPU/dense_output_f16.mlir
MLIR :: Integration/Dialect/SparseTensor/CPU/sparse_abs.mlir
MLIR :: Integration/Dialect/SparseTensor/CPU/sparse_binary.mlir
MLIR :: Integration/Dialect/SparseTensor/CPU/sparse_cast.mlir
MLIR :: Integration/Dialect/SparseTensor/CPU/sparse_codegen_dim.mlir
MLIR :: Integration/Dialect/SparseTensor/CPU/sparse_codegen_foreach.mlir
MLIR :: Integration/Dialect/SparseTensor/CPU/sparse_complex32.mlir
MLIR :: Integration/Dialect/SparseTensor/CPU/sparse_complex64.mlir
MLIR :: Integration/Dialect/SparseTensor/CPU/sparse_complex_ops.mlir
MLIR :: Integration/Dialect/SparseTensor/CPU/sparse_constant_to_sparse_tensor.mlir
MLIR :: Integration/Dialect/SparseTensor/CPU/sparse_conv_1d_nwc_wcf.mlir
MLIR :: Integration/Dialect/SparseTensor/CPU/sparse_conv_2d.mlir
MLIR :: Integration/Dialect/SparseTensor/CPU/sparse_conv_2d_nhwc_hwcf.mlir
MLIR :: Integration/Dialect/SparseTensor/CPU/sparse_conv_3d.mlir
MLIR :: Integration/Dialect/SparseTensor/CPU/sparse_conv_3d_ndhwc_dhwcf.mlir
MLIR :: Integration/Dialect/SparseTensor/CPU/sparse_conversion.mlir
MLIR :: Integration/Dialect/SparseTensor/CPU/sparse_conversion_dyn.mlir
MLIR :: Integration/Dialect/SparseTensor/CPU/sparse_conversion_ptr.mlir
MLIR :: Integration/Dialect/SparseTensor/CPU/sparse_conversion_sparse2dense.mlir
MLIR :: Integration/Dialect/SparseTensor/CPU/sparse_conversion_sparse2sparse.mlir
MLIR :: Integration/Dialect/SparseTensor/CPU/sparse_dot.mlir
MLIR :: Integration/Dialect/SparseTensor/CPU/sparse_expand.mlir
MLIR :: Integration/Dialect/SparseTensor/CPU/sparse_file_io.mlir
MLIR :: Integration/Dialect/SparseTensor/CPU/sparse_filter_conv2d.mlir
MLIR :: Integration/Dialect/SparseTensor/CPU/sparse_flatten.mlir
MLIR :: Integration/Dialect/SparseTensor/CPU/sparse_foreach_slices.mlir
MLIR :: Integration/Dialect/SparseTensor/CPU/sparse_index.mlir
MLIR :: Integration/Dialect/SparseTensor/CPU/sparse_index_dense.mlir
MLIR :: Integration/Dialect/SparseTensor/CPU/sparse_insert_1d.mlir
MLIR :: Integration/Dialect/SparseTensor/CPU/sparse_insert_2d.mlir
MLIR :: Integration/Dialect/SparseTensor/CPU/sparse_insert_3d.mlir
MLIR :: Integration/Dialect/SparseTensor/CPU/sparse_matmul.mlir
MLIR :: Integration/Dialect/SparseTensor/CPU/sparse_matrix_ops.mlir
MLIR :: Integration/Dialect/SparseTensor/CPU/sparse_matvec.mlir
MLIR :: Integration/Dialect/SparseTensor/CPU/sparse_mttkrp.mlir
MLIR :: Integration/Dialect/SparseTensor/CPU/sparse_out_mult_elt.mlir
MLIR :: Integration/Dialect/SparseTensor/CPU/sparse_out_reduction.mlir
MLIR :: Integration/Dialect/SparseTensor/CPU/sparse_out_simple.mlir
MLIR :: Integration/Dialect/SparseTensor/CPU/sparse_pack.mlir
MLIR :: Integration/Dialect/SparseTensor/CPU/sparse_quantized_matmul.mlir
MLIR :: Integration/Dialect/SparseTensor/CPU/sparse_re_im.mlir
MLIR :: Integration/Dialect/SparseTensor/CPU/sparse_reduce_custom.mlir
MLIR :: Integration/Dialect/SparseTensor/CPU/sparse_reduce_custom_prod.mlir
MLIR :: Integration/Dialect/SparseTensor/CPU/sparse_reductions.mlir
MLIR :: Integration/Dialect/SparseTensor/CPU/sparse_reductions_prod.mlir
MLIR :: Integration/Dialect/SparseTensor/CPU/sparse_reshape.mlir
MLIR :: Integration/Dialect/SparseTensor/CPU/sparse_rewrite_push_back.mlir
MLIR :: Integration/Dialect/SparseTensor/CPU/sparse_rewrite_sort.mlir
MLIR :: Integration/Dialect/SparseTensor/CPU/sparse_rewrite_sort_coo.mlir
MLIR :: Integration/Dialect/SparseTensor/CPU/sparse_sampled_matmul.mlir
MLIR :: Integration/Dialect/SparseTensor/CPU/sparse_sampled_mm_fusion.mlir
MLIR :: Integration/Dialect/SparseTensor/CPU/sparse_scale.mlir
MLIR :: Integration/Dialect/SparseTensor/CPU/sparse_scf_nested.mlir
MLIR :: Integration/Dialect/SparseTensor/CPU/sparse_select.mlir
MLIR :: Integration/Dialect/SparseTensor/CPU/sparse_sign.mlir
MLIR :: Integration/Dialect/SparseTensor/CPU/sparse_sorted_coo.mlir
MLIR :: Integration/Dialect/SparseTensor/CPU/sparse_spmm.mlir
MLIR :: Integration/Dialect/SparseTensor/CPU/sparse_storage.mlir
MLIR :: Integration/Dialect/SparseTensor/CPU/sparse_sum.mlir
MLIR :: Integration/Dialect/SparseTensor/CPU/sparse_sum_bf16.mlir
MLIR :: Integration/Dialect/SparseTensor/CPU/sparse_sum_c32.mlir
MLIR :: Integration/Dialect/SparseTensor/CPU/sparse_sum_f16.mlir
MLIR :: Integration/Dialect/SparseTensor/CPU/sparse_tanh.mlir
MLIR :: Integration/Dialect/SparseTensor/CPU/sparse_tensor_mul.mlir
MLIR :: Integration/Dialect/SparseTensor/CPU/sparse_tensor_ops.mlir
MLIR :: Integration/Dialect/SparseTensor/CPU/sparse_transpose.mlir
MLIR :: Integration/Dialect/SparseTensor/CPU/sparse_unary.mlir
MLIR :: Integration/Dialect/SparseTensor/CPU/sparse_vector_ops.mlir
MLIR :: Integration/Dialect/SparseTensor/python/test_SDDMM.py
MLIR :: Integration/Dialect/SparseTensor/python/test_SpMM.py
MLIR :: Integration/Dialect/SparseTensor/python/test_elementwise_add_sparse_output.py
MLIR :: Integration/Dialect/SparseTensor/python/test_output.py
MLIR :: Integration/Dialect/SparseTensor/python/test_stress.py
MLIR :: Integration/Dialect/SparseTensor/taco/test_MTTKRP.py
MLIR :: Integration/Dialect/SparseTensor/taco/test_SDDMM.py
MLIR :: Integration/Dialect/SparseTensor/taco/test_SpMM.py
MLIR :: Integration/Dialect/SparseTensor/taco/test_SpMV.py
MLIR :: Integration/Dialect/SparseTensor/taco/test_Tensor.py
MLIR :: Integration/Dialect/SparseTensor/taco/test_scalar_tensor_algebra.py
MLIR :: Integration/Dialect/SparseTensor/taco/test_simple_tensor_algebra.py
MLIR :: Integration/Dialect/SparseTensor/taco/test_tensor_complex.py
MLIR :: Integration/Dialect/SparseTensor/taco/test_tensor_types.py
MLIR :: Integration/Dialect/SparseTensor/taco/test_tensor_unary_ops.py
MLIR :: Integration/Dialect/SparseTensor/taco/test_true_dense_tensor_algebra.py
MLIR :: Integration/Dialect/SparseTensor/taco/unit_test_tensor_core.py
MLIR :: Integration/Dialect/SparseTensor/taco/unit_test_tensor_io.py
MLIR :: Integration/Dialect/SparseTensor/taco/unit_test_tensor_utils.py
MLIR :: Integration/Dialect/Standard/CPU/test-ceil-floor-pos-neg.mlir
MLIR :: Integration/Dialect/Standard/CPU/test_subview.mlir
MLIR :: Integration/Dialect/Vector/CPU/AMX/test-mulf-full.mlir
MLIR :: Integration/Dialect/Vector/CPU/AMX/test-mulf.mlir
MLIR :: Integration/Dialect/Vector/CPU/AMX/test-muli-ext.mlir
MLIR :: Integration/Dialect/Vector/CPU/AMX/test-muli-full.mlir
MLIR :: Integration/Dialect/Vector/CPU/AMX/test-muli.mlir
MLIR :: Integration/Dialect/Vector/CPU/AMX/test-tilezero-block.mlir
MLIR :: Integration/Dialect/Vector/CPU/AMX/test-tilezero.mlir
MLIR :: Integration/Dialect/Vector/CPU/X86Vector/test-dot.mlir
MLIR :: Integration/Dialect/Vector/CPU/X86Vector/test-inline-asm-vector-avx512.mlir
MLIR :: Integration/Dialect/Vector/CPU/X86Vector/test-mask-compress.mlir
MLIR :: Integration/Dialect/Vector/CPU/X86Vector/test-rsqrt.mlir
MLIR :: Integration/Dialect/Vector/CPU/X86Vector/test-sparse-dot-product.mlir
MLIR :: Integration/Dialect/Vector/CPU/X86Vector/test-vp2intersect-i32.mlir
MLIR :: Integration/Dialect/Vector/CPU/test-0-d-vectors.mlir
MLIR :: Integration/Dialect/Vector/CPU/test-broadcast.mlir
MLIR :: Integration/Dialect/Vector/CPU/test-compress.mlir
MLIR :: Integration/Dialect/Vector/CPU/test-constant-mask.mlir
MLIR :: Integration/Dialect/Vector/CPU/test-contraction.mlir
MLIR :: Integration/Dialect/Vector/CPU/test-create-mask-v4i1.mlir
MLIR :: Integration/Dialect/Vector/CPU/test-create-mask.mlir
MLIR :: Integration/Dialect/Vector/CPU/test-expand.mlir
MLIR :: Integration/Dialect/Vector/CPU/test-extract-strided-slice.mlir
MLIR :: Integration/Dialect/Vector/CPU/test-flat-transpose-col.mlir
MLIR :: Integration/Dialect/Vector/CPU/test-flat-transpose-row.mlir
MLIR :: Integration/Dialect/Vector/CPU/test-fma.mlir
MLIR :: Integration/Dialect/Vector/CPU/test-gather.mlir
MLIR :: Integration/Dialect/Vector/CPU/test-index-vectors.mlir
MLIR :: Integration/Dialect/Vector/CPU/test-insert-strided-slice.mlir
MLIR :: Integration/Dialect/Vector/CPU/test-maskedload.mlir
MLIR :: Integration/Dialect/Vector/CPU/test-maskedstore.mlir
MLIR :: Integration/Dialect/Vector/CPU/test-matrix-multiply-col.mlir
MLIR :: Integration/Dialect/Vector/CPU/test-matrix-multiply-row.mlir
MLIR :: Integration/Dialect/Vector/CPU/test-outerproduct-f32.mlir
MLIR :: Integration/Dialect/Vector/CPU/test-outerproduct-i64.mlir
MLIR :: Integration/Dialect/Vector/CPU/test-print-int.mlir
MLIR :: Integration/Dialect/Vector/CPU/test-realloc.mlir
MLIR :: Integration/Dialect/Vector/CPU/test-reductions-f32-reassoc.mlir
MLIR :: Integration/Dialect/Vector/CPU/test-reductions-f32.mlir
MLIR :: Integration/Dialect/Vector/CPU/test-reductions-f64-reassoc.mlir
MLIR :: Integration/Dialect/Vector/CPU/test-reductions-f64.mlir
MLIR :: Integration/Dialect/Vector/CPU/test-reductions-i32.mlir
MLIR :: Integration/Dialect/Vector/CPU/test-reductions-i4.mlir
MLIR :: Integration/Dialect/Vector/CPU/test-reductions-i64.mlir
MLIR :: Integration/Dialect/Vector/CPU/test-reductions-si4.mlir
MLIR :: Integration/Dialect/Vector/CPU/test-reductions-ui4.mlir
MLIR :: Integration/Dialect/Vector/CPU/test-scan.mlir
MLIR :: Integration/Dialect/Vector/CPU/test-scatter.mlir
MLIR :: Integration/Dialect/Vector/CPU/test-shape-cast.mlir
MLIR :: Integration/Dialect/Vector/CPU/test-shuffle.mlir
MLIR :: Integration/Dialect/Vector/CPU/test-sparse-dot-matvec.mlir
MLIR :: Integration/Dialect/Vector/CPU/test-sparse-saxpy-jagged-matvec.mlir
MLIR :: Integration/Dialect/Vector/CPU/test-transfer-read-1d.mlir
MLIR :: Integration/Dialect/Vector/CPU/test-transfer-read-2d.mlir
MLIR :: Integration/Dialect/Vector/CPU/test-transfer-read-3d.mlir
MLIR :: Integration/Dialect/Vector/CPU/test-transfer-read.mlir
MLIR :: Integration/Dialect/Vector/CPU/test-transfer-to-loops.mlir
MLIR :: Integration/Dialect/Vector/CPU/test-transfer-write.mlir
MLIR :: Integration/Dialect/Vector/CPU/test-transpose.mlir
Testing Time: 0.29s
Unsupported: 31
Passed : 5
Failed : 186
Differential Revision: https://reviews.llvm.org/D143970
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This patch contains the changes required to make the vast majority of integration and runner tests run on Windows.
Historically speaking, the JIT support for Windows has been lacking behind, but recent versions of ORC JIT have now caught up and works for basically all examples in repo.
Sadly due to these tests previously not working on Windows, basically all of them are making unix-like assumptions about things like filenames, paths, shell syntax etc.
This patch fixes all these issues in one big swoop and enables Windows support for the vast majority of integration tests.
More specifically, following changes had to be done:
* The various JIT runners used paths to the runtime libraries that assumed a Unix toolchain layout and filenames. I abstracted the specific path and filename of these runtime libraries away by making the paths to the runtime libraries be passed from cmake into lit. This now also allows a much more convenient syntax: `--shared-libs=%mlir_c_runner_utils` instead of `--shared-libs=%mlir_lib_dir/lib/libmlir_c_runner_utils%shlibext`
* Some tests using python set environment variables using the `ENV=VALUE cmd` format. This works on Unix, but on Windows it has to prefixed using `env ENV=VALUE cmd`
* Some tests used C functions that are simply not available or exported on Windows (`fabsf`, `aligned_alloc`). These tests have either been adjusted or explicitly marked as `UNSUPPORTED`
Some tests remain disabled on Windows as before:
* In SparseTensor some tests have non-trivial logic for finding the runtime libraries which seems to be required for the use of emulators. I do not have the time to port these so I simply kept them disabled
* Some tests requiring special hardware which I simply cannot test remain disabled on Windows. These include usage of AVX512 or AMX
The tests for `mlir-vulkan-runner` and `mlir-spirv-runner` all work now as well and so do the vast majority of `mlir-cpu-runner`.
Differential Revision: https://reviews.llvm.org/D143925
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Sparse compiler used to generate vectorized code for sparse tensors computation, but it should really be delegated to other vectorization passes for better progressive lowering.
https://discourse.llvm.org/t/rfc-structured-codegen-beyond-rectangular-arrays/64707
Reviewed By: aartbik
Differential Revision: https://reviews.llvm.org/D136183
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This extension to the sparse tensor type system in MLIR
opens up a whole new set of sparse storage schemes, such as
block sparse storage (e.g. BCSR) and ELL (aka jagged diagonals).
This revision merely introduces the type extension and
initial documentation. The actual interpretation of the type
(reading in tensors, lowering to code, etc.) will follow.
Reviewed By: Peiming
Differential Revision: https://reviews.llvm.org/D135206
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Reviewed By: bixia
Differential Revision: https://reviews.llvm.org/D133385
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Fix incorrectly formatted python file.
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The old replacements will be removed soon:
- `%linalg_test_lib_dir`
- `%cuda_wrapper_library_dir`
- `%spirv_wrapper_library_dir`
- `%vulkan_wrapper_library_dir`
- `%mlir_runner_utils_dir`
- `%mlir_integration_test_dir`
Reviewed By: herhut
Differential Revision: https://reviews.llvm.org/D133270
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for vectorization and parallelization options.
The SparseTensor passes currently use opaque numbers for the CLI, despite using an enum internally. This patch exposes the enums instead of numbered items that are matched back to the enum.
Fixes https://github.com/llvm/llvm-project/issues/53389
Differential Revision: https://reviews.llvm.org/D123876
Please also see:
https://reviews.llvm.org/D118379
https://reviews.llvm.org/D117919
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This reverts commit ef25b5d93d0b5621eb5d0482abd30a4e127e9223.
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numbers for vectorization and parallelization options.
The SparseTensor passes currently use opaque numbers for the CLI,
despite using an enum internally. This patch exposes the enums instead
of numbered items that are matched back to the enum.
Fixes https://github.com/llvm/llvm-project/issues/53389
Differential Revision: https://reviews.llvm.org/D123876
Please also see:
https://reviews.llvm.org/D118379
https://reviews.llvm.org/D117919
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numbers for vectorization and parallelization options."
This reverts commit d59cf901cbae7991f7847eb038d825efff1221ad.
Build fails on NVIDIA Sparse tests:
https://lab.llvm.org/buildbot/#/builders/61/builds/25447
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for vectorization and parallelization options.
The SparseTensor passes currently use opaque numbers for the CLI, despite using an enum internally. This patch exposes the enums instead of numbered items that are matched back to the enum.
Fixes GitHub issue #53389
Reviewed by: aartbik, mehdi_amini
Differential Revision: https://reviews.llvm.org/D123876
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examples+python scripts
The special case parsing of `func` operations is being removed.
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Reviewed By: bixia
Differential Revision: https://reviews.llvm.org/D123419
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This commit moves FuncOp out of the builtin dialect, and into the Func
dialect. This move has been planned in some capacity from the moment
we made FuncOp an operation (years ago). This commit handles the
functional aspects of the move, but various aspects are left untouched
to ease migration: func::FuncOp is re-exported into mlir to reduce
the actual API churn, the assembly format still accepts the unqualified
`func`. These temporary measures will remain for a little while to
simplify migration before being removed.
Differential Revision: https://reviews.llvm.org/D121266
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Reviewed By: bixia
Differential Revision: https://reviews.llvm.org/D120347
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Explicitly nests passes for FuncOp, adds more options to the sparse-compiler pipeline, and updates python integration tests. This should be sufficient to close https://github.com/llvm/llvm-project/issues/51751
Reviewed By: aartbik
Differential Revision: https://reviews.llvm.org/D118658
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This is part of splitting up the standard dialect. See https://llvm.discourse.group/t/standard-dialect-the-final-chapter/ for discussion.
Differential Revision: https://reviews.llvm.org/D118648
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The bufferization of arith.constant ops is also switched over to BufferizableOpInterface-based bufferization. The old implementation is deleted. Both implementations utilize GlobalCreator, now renamed to just `getGlobalFor`.
GlobalCreator no longer maintains a set of all created allocations to avoid duplicate allocations of the same constant. Instead, `getGlobalFor` scans the module to see if there is already a global allocation with the same constant value.
For compatibility reasons, it is still possible to create a pass that bufferizes only `arith.constant`. This pass (createConstantBufferizePass) could be deleted once all users were switched over to One-Shot bufferization.
Differential Revision: https://reviews.llvm.org/D118483
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explores various sparsity combinations of
the SDMM kernel and verifies that the computed
result is the same for all cases
Reviewed By: bixia
Differential Revision: https://reviews.llvm.org/D115476
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